CN106611260A - Establishment for evaluation model of residential area power distribution network engineering cost index system - Google Patents
Establishment for evaluation model of residential area power distribution network engineering cost index system Download PDFInfo
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- CN106611260A CN106611260A CN201510699807.3A CN201510699807A CN106611260A CN 106611260 A CN106611260 A CN 106611260A CN 201510699807 A CN201510699807 A CN 201510699807A CN 106611260 A CN106611260 A CN 106611260A
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Abstract
The invention discloses establishment for an evaluation model of a residential area power distribution network engineering cost index system. The method comprises the following steps: analyzing the characteristics of residential area power distribution network engineering cost data, and carrying out simplified treatment on the engineering cost data; for the characteristics that the engineering data size is large, the difference among the data is great and an optimal engineering on behalf of the overall situation is difficult to find out by using an optimal method, combining historical data after simplified treatment to carry out dimension reduction process on the obtained data; according to obtained new indexes, using a statistical learning algorithm support vector machine to carry out data modeling; and carrying out sensitivity analysis on the basis of a PSO-LSSVM evaluation model to construct an estimated review analysis model. The method is beneficial for improving the management level of engineering cost managers, and is preferably beneficial for improving the efficiency of engineering settlement and the reasonability of engineering cost, so that the cost evaluation model is established, and the method has significant theoretical values and practical meanings in engineering cost management.
Description
Technical field
The present invention relates to a kind of foundation of cell distribution network engineering Cost Index system assessment models, belongs to field of power.
Background technology
Cell power distribution network is the important infrastructure for improving People's livelihood, and as Development of China's Urbanization is accelerated, distributed power source is fast-developing, proposes requirements at the higher level to power distribution network development construction.In conventional Cost Index is evaluated, Jing weighs the height of distribution network engineering cost frequently with indexes of unit cost, but with the variation of distribution network engineering building technology, the dispersion of its unit price numerical value is also increasing, indexes of unit cost does not have comparability, its height can not accurately reflect construction costs level comprehensively, lack directiveness and practical operation to Engineering Cost Management.Therefore, the evaluation of distribution network engineering cost can not only consider unit price factor, also need to consider the characteristic factor of engineering, and what only both combination was only final evaluation engineering cost improves index.
In order to be pushed further into Modern power distribution net building-up work, carry out the research of the foundation of cell distribution network engineering Cost Index assessment models in a deep going way, management of engineering construction can further be strengthened, reduction scientifically and rationally control engineering cost level preferably play economic benefit of engineering and social benefit.Simultaneously, the scientific of cell distribution network engineering Cost Index assessment models, standardization, standardization, not only facilitate the management level for improving Engineering Cost Management personnel, it is more beneficial for the reasonability of the efficiency and construction costs of raising Engineering Settlement, therefore study rational Cost Index system, cost evaluation model is set up, and there is important theory value and Practical significance in being applied to Engineering Cost Management.
The content of the invention
The present invention is directed to prior art deficiency and is actually needed and provides a kind of foundation of cell distribution network engineering Cost Index system assessment models.
The structure of setting up of of the present invention kind of cell distribution network engineering Cost Index system assessment models includes：
1）The characteristics of analysis cell distribution network engineering cost data, Construction Cost Data data is carried out simplifying process；Main maintenance data cleaning, data integration, the processing method such as data conversion and Data Reduction simplify to initial data；
2）Big for project data amount, between data, difference is big, with optimization method it is difficult to find the characteristics of representing the optimum engineering of the overall situation；Data are classified using Fuzzy C mean square (Fuzzy C-means, FCM) clustering algorithm, so can be to each class as small sample set, being individually analyzed calculating；
3）With reference to the historical summary simplified after processing, the data to obtaining carry out dimension-reduction treatment；Attributes extraction is carried out using PCA mainly, the new ATTRIBUTE INDEX comprising data characteristicses is obtained；
4）According to the New Set for obtaining, data modeling is carried out using statistical learning algorithm support vector machine.For the complicated too high shortcoming of algorithm of support vector machine, from the newest innovatory algorithm least square method supporting vector machine algorithm of support vector machine；Nonstandard shortcoming is chosen for least square method supporting vector machine parameter, parameter is optimized using population；Eventually form new hybrid algorithm：Cell distribution network engineering data are estimated by PSO-LSSVM algorithms respectively；
5）Sensitivity analysis is carried out on the basis of PSO-LSSVM assessment models, estimation is built and is examined analysis model.Reference frame is provided to account valuation to reach, carry out the purpose of reasonable control.
Beneficial effects of the present invention：The foundation of cell distribution network engineering Cost Index system assessment models of the present invention not only facilitates the management level for improving Engineering Cost Management personnel, it is more beneficial for the reasonability of the efficiency and construction costs of raising Engineering Settlement, the cost evaluation model is hence set up, and there is important theory value and Practical significance in being applied to Engineering Cost Management.
Specific embodiment
The structure of setting up of of the present invention kind of cell distribution network engineering Cost Index system assessment models includes：
1）The characteristics of analysis cell distribution network engineering cost data, Construction Cost Data data is carried out simplifying process.Main maintenance data cleaning, data integration, the processing method such as data conversion and Data Reduction simplify to initial data；
2）Big for project data amount, between data, difference is big, with optimization method it is difficult to find the characteristics of representing the optimum engineering of the overall situation.Data are classified using Fuzzy C mean square (Fuzzy C-means, FCM) clustering algorithm, so can be to each class as small sample set, being individually analyzed calculating；
3）With reference to the historical summary simplified after processing, the data to obtaining carry out dimension-reduction treatment.Attributes extraction is carried out using PCA mainly, the new ATTRIBUTE INDEX comprising data characteristicses is obtained；
4）According to the New Set for obtaining, data modeling is carried out using statistical learning algorithm support vector machine.For the complicated too high shortcoming of algorithm of support vector machine, from the newest innovatory algorithm least square method supporting vector machine algorithm of support vector machine.Nonstandard shortcoming is chosen for least square method supporting vector machine parameter, parameter is optimized using population.Eventually form new hybrid algorithm：Cell distribution network engineering data are estimated by PSO-LSSVM algorithms respectively；
5）Sensitivity analysis is carried out on the basis of PSO-LSSVM assessment models, estimation is built and is examined analysis model.Reference frame is provided to account valuation to reach, carry out the purpose of reasonable control.
Claims (1)
1. a kind of foundation of cell distribution network engineering Cost Index system assessment models, it is characterised in that：
1）The characteristics of analysis cell distribution network engineering cost data, Construction Cost Data data is carried out simplifying process；Main maintenance data cleaning, data integration, the processing method such as data conversion and Data Reduction simplify to initial data；
2）Big for project data amount, between data, difference is big, with optimization method it is difficult to find the characteristics of representing the optimum engineering of the overall situation；It is mean square using Fuzzy C, Fuzzy
C-means, FCM clustering algorithm is classified to data, so can be to each class as small sample set, being individually analyzed calculating；
3）With reference to the historical summary simplified after processing, the data to obtaining carry out dimension-reduction treatment；Attributes extraction is carried out using PCA mainly, the new ATTRIBUTE INDEX comprising data characteristicses is obtained；
4）According to the New Set for obtaining, data modeling is carried out using statistical learning algorithm support vector machine;
For the complicated too high shortcoming of algorithm of support vector machine, from the newest innovatory algorithm least square method supporting vector machine algorithm of support vector machine；Nonstandard shortcoming is chosen for least square method supporting vector machine parameter, parameter is optimized using population；Eventually form new hybrid algorithm：Cell distribution network engineering data are estimated by PSO-LSSVM algorithms respectively；
5）Sensitivity analysis is carried out on the basis of PSO-LSSVM assessment models, estimation is built and is examined analysis model, provide reference frame to account valuation to reach, carry out the purpose of reasonable control.
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| CN201510699807.3A CN106611260A (en) | 2015-10-26 | 2015-10-26 | Establishment for evaluation model of residential area power distribution network engineering cost index system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108376262A (en) * | 2018-02-23 | 2018-08-07 | 新疆大学 | A kind of analysis model construction method of wind power output typical characteristics |
| CN109858706A (en) * | 2019-02-21 | 2019-06-07 | 蔡小青 | A kind of project cost data management system and method |
| CN110807490A (en) * | 2019-11-04 | 2020-02-18 | 国网四川省电力公司经济技术研究院 | Intelligent prediction method for construction cost of power transmission line based on single-base tower |
| CN112183999A (en) * | 2020-09-24 | 2021-01-05 | 国网山东省电力公司电力科学研究院 | Power distribution main equipment sensor reliability evaluation index feature extraction method |
| CN112508512A (en) * | 2020-11-26 | 2021-03-16 | 国网河北省电力有限公司经济技术研究院 | Power grid engineering cost data management method and device and terminal equipment |
-
2015
- 2015-10-26 CN CN201510699807.3A patent/CN106611260A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108376262A (en) * | 2018-02-23 | 2018-08-07 | 新疆大学 | A kind of analysis model construction method of wind power output typical characteristics |
| CN108376262B (en) * | 2018-02-23 | 2021-08-10 | 新疆大学 | Analytical model construction method for typical characteristics of wind power output |
| CN109858706A (en) * | 2019-02-21 | 2019-06-07 | 蔡小青 | A kind of project cost data management system and method |
| CN110807490A (en) * | 2019-11-04 | 2020-02-18 | 国网四川省电力公司经济技术研究院 | Intelligent prediction method for construction cost of power transmission line based on single-base tower |
| CN112183999A (en) * | 2020-09-24 | 2021-01-05 | 国网山东省电力公司电力科学研究院 | Power distribution main equipment sensor reliability evaluation index feature extraction method |
| CN112508512A (en) * | 2020-11-26 | 2021-03-16 | 国网河北省电力有限公司经济技术研究院 | Power grid engineering cost data management method and device and terminal equipment |
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